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In the paper, degradation and restoration model is introduced. Image restoration method using inverse filtering and using wiener filtering are studied and implemented. A new method of image restoration is proposed by combining histogram equalization and median filtering. Comparing three methods by MATLAB simulation, the results show that the new method can effectively restore degradation image with comparatively high restoration efficiency.

to study the nonlinear oscillation principle of new robofish’s two joints tail, the relationship between tilt angle of tail fin that produces thrust and cycle offer quency produced by two joints fin tail propulsion system can be calculated applying reciprocating motion principle in theory; by means of contrastive analysising the results of calculation model, and making use of MATLAB simulation environment to experimental simulate motion model, the fin tail NLSST can be further proved.

With the steady growth of the population in our country, the analysis of population is essential to the distribution of social resources and the improvement of the population quality. In this paper, we use the neural network of rational spline weight functions with cubic numerator and quadratic denominator to establish the model of Chinese population by four indicators, gender ratio, birth rate, elderly dependency ratio and natural increase rate. Finally we come to the conclusion through MATLAB simulation that the training speed is fast and the error is small. This kind of neural network can be applied to population analysis and it could be used in various fields.

This paper aims to analyze passenger flow in subway based on a kind of rational spline weight function neural network, in which the numerator of the spline is a cubic polynomial and the denominator of the spline is a quadratic polynomial, and this kind spline is denoted by 3/2 rational splines. There are many factors affecting the passenger flow. Combined the main influential factors with the self-learning method of neural network, we establish the neural network model of passenger flow in subway. This paper introduces the spline weight function neural network and the passenger flow model based on this neural network. Finally MATLAB simulation verifies that the 3/2 rational spline weight function neural network can be applied to analyze the passenger flow in subway with high accuracy.

According to the unsatisfied control result in a military inertial navigation platform,a control method combined with generalized predictive control and PID control is proposed,accurate control can be realized in terms of time and temperature. MATLAB simulation is given to illustrate that this method satisfies expected requirements well,and is feasible and available.

This paper analyses and researches the performance and principle of DSTATCOM in distribution network .Detecting means and control method of DSTATCOM are key point of this paper. The paper determines the detecting means of improved d-q transformation theory of vector control based on instantaneous reactive power and adopts a novel strategy based on the prediction table of double variable. Moreover, the simulation of DSTATCOM is presented with MATLAB. The simulating results prove the DSTATCOM put forward in the paper can realize dynamic reactive power compensation efficiently.

In the traditional motor-side converter control strategy of double-fed induction generator, because of the stator resistance led to the observation of the accuracy of the stator flux is affected. Academia therefore put forward a lot of improvements, but little attention to the impact of the iron loss. Due to the iron loss exists of double-fed induction generator during operation, and the size of the iron loss change with the wind speed will led to the accuracy of Maximum Power Point Tracking. This paper presents a new control strategy and through MATLAB simulation demonstrates the effective of the strategy.

University basketball teaching is in need of feasible plans to cultivate compound talents to meet the social needs. The public basketball teaching design has also been constantly innovated to train university students into compound talents to satisfy the demand of today's society. Based on investigation and study on the basic situation of ordinary university basketball teaching, and combined with rich teaching experience, it proposes to innovate the old teaching mode of ordinary university public basketball class, and to construct the a mode that can satisfy the social needs. By doing so, it will improve the teaching quality and in turn make positive contribution to university basketball teaching.

Many reasons of low voltage in distribution network of Zhejiang province were investigation owing to many complaints from the areas. Because of a mass of site visits, simulation models were built to prove reasons of low voltage. The reason statistics of the transformer districts over the province list several proportions for the problems. Lastly, five advices were obtained to solution low voltage including planning, design, construction, reactive compensation and remote monitoring. It is helpful for solving the problem pertinently.

This paper first describes the basic theory of BP neural network algorithm, defects and improved methods, establishes a computer network security evaluation index system, explores the computer network security evaluation method based on BP neural network, and has designed to build the evaluation model, and shows that the method is feasible through the MATLAB simulation experiments.

There are many engineering characteristics for soft ground. It is an urgent problem for engineering construction to predict settlement according to the features of soft ground and existing settlement data. In this paper, we used the measured settlement data of soft ground, then come up with the prediction method of soft ground settlement based on the BP artificial neural network in the Matlab simulation environment. This method can modelling highly complex and nonlinear earth structures directly based on real samples. Practical test showed that this method has a high degree of accuracy, and it is very valuable to instruct construction and guarantee the stability of the ground.

The intelligent fuzzy control method in thermostatic process of the sand casting and gas forming tester was introduced in this paper. The delayed time of thermostatic control system of the tester was compensated by Smith predictor. The simulation testified that the control method of the research has a higher maneuverability, which is in line with the actual needs of the tester.

Reliable operation of the aircraft power distribution system is critical to the flight safety of a plane。In this paper,the reliability evaluation model of aircraft power supplying system based on Bayesian fusion is set up。 Calculating reliability indexes by using MATLAB simulation softwaer。Comparing with the traditional Bayes approach,the result shows the method is efficient。

This paper investigated the radiate source target localization techniques using airborne ESM sensor. Two algorithms are represented for different application environments. Pseudo linear estimation algorithm is used for estimating static target states with bearings-only measurements. The measurement data are bearings which are affected by random Gaussian observation noises. Iterated least squares estimation algorithm used iterative techniques to enhance the estimation accuracy. It is a kind of estimation algorithm based on the least squares estimation. Finally two scenarios are represented in Matlab simulation environments to validate the effectiveness of the algorithms.

In view of the present situation of scheelite smelting technology in China, we analyze the existing equipment and process problems,put forward the technique of mechanical enhancement of scheelite and alkali autoclave decomposition method combining with the temperature, the temperature of reaction kettle as the main object of control, the fuzzy control and PID control combined to design a two-dimensional fuzzy controller, through the MATLAB simulation results show that, the control effect, safety and feasibility of good.

The traditional BP neural network algorithm is applied to intrusion detection system, detection speed slow and low detection accuracy. In order to solve the above problems, this paper proposes a network intrusion detection algorithm using genetic algorithms to optimize neural network weights. which find the most suitable weights of BP neural network by the genetic algorithm, and uses the optimized BP neural network to learn and detect the network intrusion detection data. Matlab simulation results show that the training sample time of the algorithm is shorter, has good intrusion recognition and detection effect, compared with the traditional network intrusion detection algorithm.

In the teaching of optical courses, the aberration knowledge is abstract and students often feel it difficult to understand. According to this phenomenon, a new simulation algorithm, which is based on the analysis of chromatic and spherical aberration theory, is described in this paper; with Matlab as the programming language, the emulation programs of chromatic and spherical aberration are designed and the simulation figures are presented, from which the effect of parametric variation on aberration can be shown vividly and intuitively. And for students, this will be helpful in the mastery of aberration knowledge.

According to the characteristics of fault types of the transformer ,RBF neural network is used to diagnose transformer fault. The paper regards six gases as inputs of the neural network and establishes RBF neural network model which can diagnose six transformer faults: low temperature overheat, medium temperature overheat, high temperature overheat, low energy discharge, high energy discharge and partial discharge . The Matlab simulation studies show that transformer fault diagnosis model based on RBF neural network diagnosis for failure beyond the traditional three-ratio method. The rate of the transformer fault diagnosis accuracy reaches 91.67% which is also much higher than the traditional three ratio method.

The heat dissipation design is very important for controller chip. But the traditional methods can not get the best results. This paper introduces the basic theory about the heat dissipation design and puts forward an optimized method of the heat sink design. This paper uses the thermodynamic principle and matlab simulation to determine the geometrical size of heat sink which can make the controller chip work on the 50°C environmental temperature and the inner temperature of chip under 150°C. Using this method we can design the heat sink quickly and efficiently, and realize a balance between the performance and cost.

This paper is based on the neural network nonlinear mapping characteristics. The involute gear tooth number, modulus and their relationship model of cutting the amount effect are established respectively. Through MATLAB simulation gets the relation curve between the number of teeth and modulus. These curves can intuitive reflect the tooth number and modulus effects on cutting amount change, which provides valuable theoretical reference for the design of the involute gear.

Hoist bridge crane swinging phenomenon often occurs during the operation, making the work more difficult, there is a certain danger. To solve this problem, anti-sway system for overhead cranes depth study to identify the main factors affecting heavy lifting swinging; proposed single neuron PID control strategy, while using MATLAB simulation used to verify the reliability of the method.

In this paper, we present an algorithm for voice speed changing and pitch shifting based on TD-PSOLA. MATLAB simulation results indicate this algorithm can effectively improve the precision of pitch detection and convert speech into desired one. After the algorithm being realized and optimized, a real-time system is implemented on DSP, which can produce desired fundamental frequency and duration.

MATLAB is a set of numerical calculation, symbolic operation, visual modeling, simulation and graphic processing and other functions in one of the very best graphical language. This paper briefly introduces the PID controller is widely used in the field of industry, and the theoretical foundation of the PID controller, and the continuous improvement of system performance index.

The SCM controller is a special digital controller PID control system, for example to achieve the simulation of the control system are established SCM control system simulation model based on the operating characteristics of the single-chip controller in the Matlab environment. Single chip computer controller is a peculiar digital controller. Based on the characteristics of single chip computer controller, the simulation model of single chip computer control system in Matlab is established. The simulation of single chip computer control system is realized by taking the example of PID control system.

A kind of recirculating ball-type power steering system for electric power bus was designed. The control strategy of EPS is divided into two layers that are top layer strategy and bottom layer strategy. The assist mode of top layer strategy is researched. The simulation model based MATLAB/Simulation was build and verified by the simulation experiments. The results validate the effectiveness of the proposed strategy, which creates the research basis for further research and development of EPS.

This paper proposes a guarantee steady state observation precision and pole assignment precision of the feedback controller, the basic idea is to introduce state observer can easily get dc linear motor speed and acceleration condition, state space pole assignment can pass, select the appropriate zero pole can improve the control performance of the motor. Based on the observation of the gain matrix can compensate for the steady-state error of the dc linear motor. Based on the observation of the gain matrix can compensate for the steady-state error of the dc linear motor. Matlab simulation results show that the control algorithm is compared with the traditional pole assignment, it is able to quickly and accurately follow the speed of the motor. The system has better dynamic and steady-state performance, and its characteristic of the closed-loop system robustness is stronger.

Although Non-continuous OFDM (NC-OFDM) has the unique advantage of eliminating interference to authorized user in cognitive radio context, it also confronts a difficulty of reducing peak to average power ratio (PAPR) like other OFDM techniques. In this paper, carrier interferometry is proposed to apply in NC-OFDM system in order to reduce its PAPR using the construction feature of CI code itself. The coding principle of CI code is analyzed at first. Then NC-OFDM base-band system based on carrier interferometry (CI/NC-OFDM) is modeled. Theoretical analysis and matlab simulation results indicate that CI code can bring 3 dB lower PAPR reference with the same probability of exceeding some PAPR reference, compared with traditional NC-OFDM system. This method is effective and feasible and gets better BER performance as well.

For the problems that exist in EPS composite test-benches, PID control laws are expounded, a composite PID controller is designed, which is integrated with multiple advanced PID control algorithms (variable-integral PID algorithm, PID algorithm with filters, partial derivative PID algorithm, PID algorithm with dead zone), and it is simulated by MATLAB. The simulation results show that the improvement of accuracy and the impacts mitigation of the nonlinearity and external electromagnetic interferences are achieved well through the composite PID controller, and there is practical significance.

The submersible buoy system is an important tool in the profile observation of marine environment. According to the lumped mass based method, the dynamic modeling of the submersible buoy system is established, then the dynamic analysis is carried out. The dynamic model is solved and analyzed by using the software MATLAB. The result provides theoretical reference for its structural design and numerical computation of the submersible buoy system.

Intelligent diagnosis technology has been one of the hotspot researches with the artificial neural net. Anti-lock braking system (ABS) is an important safety device of automobile. In this paper, using BP neural net, established the fault diagnosis neural net model of ABS, training and diagnosing the net by the fault samples. The results show that this method is feasible. The simulation is done by using MATLAB.

The air precooling system heat exchange process is a complex control system with features such as: nonlinear, lag and random interference. So choose Generalized Predictive Control Algorithm that has low model dependence, good robustness and control effect, as well as easy to implement. But due to the large amount of calculation of traditional generalized predictive control and can't juggle quickness and overshoot problem, an improved generalized predictive control algorithm is proposed, then carry out the MATLAB simulation, the experimental results show that the algorithm can not only greatly reduce the amount of computation, but also can restrain the overshoot and its rapidity.

In this paper, through the plunger Department of the sucker rod to conduct stress analysis, get the force of the plunger department; then create a mathematical model in the general position, because resistance along the way, dead weight, friction forces and so on, the sucker rod from the bottom up force will show increasing trend, according to equal strength concept, analysis each section forces to calculate the iteration equation; using MATLAB simulation software, the calculated result as control variables to achieve the sucker rod's optimal design.

Base on the Fuzzy Logic(FL) control theorem, the Self-tune FL PID controller is designed in which the base rules of operator experience were combined. In MATLAB simulation, when system uses the same parameters, the Self-tune FL PID controller’s over-adjust decreases by 17% compared to the conventional PID controller. That applying Self-tune FL PID controller to control the damper’s position in VAV system is able to achieve the steady and less energy consumption system.

In recent years, with the continuous improvement of the quality requirements of the plate heat treatment, the swing heated gradually become the focus of attention of many researchers. Based on the above considerations, in this paper, we established the furnace temperature pre-setting system, using the intelligence algorithm of improved PSO, under the premise of swing heating of roller-hearth normalizing furnace; and studied the optimal furnace temperature optimization curve, namely the optimal furnace temperature system, under the heat treatment process of the swing of the whole furnace and steel mixed. Through the Matlab simulation, we obtained the steel Temperature Prediction curve under the optimal furnace temperature system. By comparison, verifying the accuracy of the researched optimal furnace temperature optimization curve.

Crane with its advantages is widely used in industrial and mining enterprises, but the old control system will bring a series of problems which increased the daily maintenance work. This article adopts the double machine automatic control system of dc drag, and position control method based on the standard stroke was designed, and its validity is verified by Matlab simulation.

A software defined radio architecture algorithm is applied to Digital BPM processor for its signal processing. The algorithm is evaluated in MATLAB with data acquired from the instrument with a commercial signal source as input.The data flow diagram of the algorithm is shown and explained, critical parameters of the filters are displayed and the results are shown which testify the feasibility of the method.

For external disturbances and parameter perturbation problem of Electromagnetic guiding system, the adaptive sliding mode control method is used, take advantage of sliding mode switching surface eliminate the steady-state error and increase the precision at steady-state and robust performance of single electromagnetic guiding system. Matlab Simulation results show that the proposed control strategy shows good tracking performance and strong robustness

Paper tension is the most important control parameter in roll material production that directly impacts the printing quality of the web offset. Based on the closed-loop paper tension control theory, by conducting a research into the simulation of paper tension control system with MATLAB/SIMULINK, presented the closed-loop control diagram about the paper tension control system. Under different control parameter, the value of the overshoot, respond speed and residual of the system varies. As a result, the quantitative research on the simulation of the system offers a valid means in improving the control accuracy.

Tracked vehicle usually travels in soft ground, so the driving resistance is more complicated. In this paper, Terzaghi ground bearing capacity theory was analyzed. According to Baker pressure - settlement formula and retaining wall theory, compaction resistance and bulldozing resistance of the tracked vehicle were deduced basis of conservation of energy. Factors with effects on tracked vehicle driving resistance were analyzed by matlab simulation. The driving resistance variation was obtained. Theoretical support for tracked vehicle in soft ground running was provided.

Although traditional algorithms can led to suppressed voice in the noise, but the distortion of the voice is inevitable. An introduction is made as to the speech signal enhancement with an improved threshold method. Compared MATLAB experimental simulation on simulated platform with traditional enhanced algorithm, this paper aims to verify this method can effectively remove the noise in the signal, enhanced voice quality, improve speech intelligibility, and achieve the effect of the enhanced speech signal.

Traditional transmission line tower grounding resistance measurements have many shortcomings, in order to make up the defects the model of transmission line tower with good conductor wires and multiple grounding leads was builded, and then the algorithm of tower grounding resistance on-line measurement was proposed. On this condition, a system based on this algorithm was designed and further analysis of the error during data processing was conducted. At last, the MATLAB simulation indicates that the algorithm has a accuracy that meets the practical requirements.

Based on the analyses of intergroup complementary (IGC) codes and zero correlation zone complementary codes, novel IGC codes were proposed to adapt M-ary orthogonal code spreading spectrum system or quasi-synchronous CDMA system. The theoretical research and simulation results show that the main advantages of novel IGC are that under the same code length, the number of the novel IGC code sets are more than that of the intra-group IGC codes; the length of the zero correlation zone is longer than that of the intergroup IGC codes, but shorter than that of the intergroup IGC codes between groups; and under the same code length, the auto-correlation performance of the novel IGC codes is better than that of the IGC codes and both codes are of similar cross-correlation performance.

A velocity blending method is devised for micro-segment line high-speed machining. The model is constructed for blending velocity, and the blending curve equation is established under the constraint of maximized contour error. According to MATLAB simulation, the proposed model and its solving algorithm can achieve the high-speed linking between micro-segment lines, and the efficiency is promoted distinctly.

This paper studies the symmetry about the projection data of parallel beam and fan beam after rearrangement, and studies the reconstruction principle of the parallel beam and fan beam rearrangement, and realizes it by MATLAB simulation. This paper also discusses the application of symmetry in the two-dimensional reconstruction of CT.

The transfer function of the BUCK converter is proposed by using the state-space average method. The lead-lag network is used to optimize the stability of the closed-loop BUCK system. And the stability of the system has been greatly improved. At last the simulation model of the system is founded by using the Matlab software. Compared with the results of the simulation of open-loop and closed-loop system, the conclusion can be reached that the stability of the after- compensator system is greatly improved.

This paper makes study on the 42CrNiMo gear contact fatigue strength, applying the rapid measure method of the gear contact fatigue stress value with a few gear samples to get the estimated value of the gear fatigue limit value precisely and rapidly. And the gear fatigue life curve and fatigue damage accumulation curve are got by MATLAB simulation. Comparing with the traditional test method, this method can reduce the cost and save the time.

In this paper, we took lathe as the research object, and established an active vibration control system model based on neural network AVC (Active Vibration Control) system, and the Matlab simulation results showed that the AVC system can reduce vibration effectively and improve the lathe’s accuracy.

System simulation software MATLAB is developed by the United States Mays Walker Corporation (Mathwork) for the study of engineering analysis and design process. On the basis of discussion on MATLAB simulation software, this paper introduces the evolutionary game model, and take the evolutionary game model between logistics enterprises and SMEs as an example , Showing the application of MATLAB simulation technology on evolutionary game.