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Neuroscience initiatives aim to develop new technologies and tools to measure and manipulate neuronal circuits. To deal with the massive amounts of data generated by these tools, the authors envision the co-location of open data repositories in standardized formats together with high-performance computing hardware utilizing open source optimized analysis codes.

Nowadays, the application of computations and communications is needed for high performance, reduced size and lower power utilisation. The multiply and add functions are one of the frequently used operations in digital signal processing. Various types of multipliers are available in digital Various types of multipliers are available for various Signal processing applications.. Among these multipliers, Vedic multiplier is one of the most optimised multipliers used in a signal processing module. In the existing method, the Vedic multiplier is designed with conventional adders, which is having higher area utilisation, lower speed and higher power consumption. Hence, the modified Vedic multiplier is proposed to improve the speed of multiplication using hybrid technology. The partial products of the proposed multiplication are added using 2 × 2 Vedic multiplier and hybrid carry select adder (binary to excess one converter (BEC), Han-Carlson adder and Multiplexer). The critical path delays of hybrid 4 × 4 Vedic multiplier are the summation of 2 × 2 Vedic multiplier, two full adders, two multiplexers and two BECs for producing the final product. The proposed hybrid Vedic multiplier is operated at high speed with reduced size as compared to the existing multiplier techniques. The proposed hybrid Vedic multiplier is designed and simulated using Verilog HDL and implemented in Spartan 6 field-programmable gate array device. The implementation results showed that the delay of the proposed multiplier gets ameliorated as compared to array multiplication (30.84%), Wallace tree multiplication (29.52%), multiplication based on compressor (23.71%), Vedic multiplication by carry look-ahead adder (22.91%), Vedic multiplication by ripple carry adder (14.45%), revised booth multiplication (15.42%) and Vedic multiplication by Han-Carlson adder with BEC (13.95%) and hybrid multiplier (11.37%). [ABSTRACT FROM AUTHOR]

In every modern ICs the adders are essential components. Adder's performance has a substantial impact on the architecture of signal processing, controller, the module of filter, the module of data storage, etc., high-speed and area-efficient circuits are the most substantial parameters in every modern integrated circuit. Carry select adder operates at high speed, but it consumes more power due to the large area. The present approach discloses different VLSI hybrid carry select adder architectures. The hybrid technology-based Carry Select adder (CSELA) consists of two stages, namely the Hancarlson adder stage and Hybrid Stage is proposed. In this technique, all the stages (4 bits in each stage) are performed simultaneously to improve the speed and area further. The propagation delays of the proposed adder are the summation of two full adders, seven Multiplexers (4:1) and BEC(3 bit) for producing Cout. The proposed work indicates that the hybrid carry select adder operates at high a speed with a lesser area than the conventional adder. The proposed design is simulated and synthesized in Xilinx ISE 12.1 using Verilog HDL with a family of Vertex6 FPGA devices (Device No. XC6VLX75T, Package FF484, Speed -3). The synthesized report shows that the speed of the proposed adder is improved by 49.06%, 52.61%, 47.58%, 19.08%, 39.9%, 1.25%, 44.43%,19.08%, 44.07% and 71.59% compared to RCA, CBL-based CSELA, CLA, Weinberger BEC-based CSELA,D latched CSELA, Brent Kung CSELA, Brent Kung RCA-based CSELA, CSA Weinberger, Conventional CSELA and Ling CSELA, respectively. [ABSTRACT FROM AUTHOR]

The major role of electronic devices is providing low power dissipation and high speed with compact area. The speed of electronic devices depends on arithmetic operations. Multiplication is the important arithmetic operation in many VLSI signal processing applications. Hence, a high-speed multiplier is needed to design any signal processing module. Many multipliers are surveyed in the literature. They are Array, Wallace tree, booth, Vedic and Compressor-based multiplier. The speed of these multipliers depends on partial product accumulation. The hybrid parallel adder-based multiplier is proposed to improve the speed of multiplication compared to the existing technique. In this technique the partial products of, two consecutive bits (multiplicands), are added simultaneously with the help of a hybrid adder (Hancarlson, Weinberger and Ling adder). The proposed architecture is synthesized and simulated using Xilinx ISE 12.1 with various FPGA boards. Synthesized report shows that the speed of proposed multiplier (Spartan 6 FPGA implementation) is improved when compared to an Array multiplier (22.14%), Wallace tree multiplier (20.41%), Multiplier using compressor (13.89%), Vedic Multiplier using CLA (13.03%), Vedic Multiplier using RCA (3.54%), Modified Booth multiplier (4.42%) and Vedic Multiplier using HCA with BEC (3.28%). [ABSTRACT FROM AUTHOR]

The energetic growth in portable multimedia and mobile communication system has increased the requirement of high-speed signal processing system with compact area and power consumption. Finite impulse response(FIR) filters are broadly used in image, signal, speech and video signal processing, medical electronics, noise filtering, mobile communication and many other fields. The performance of the whole signal processing system with FIR filter depends on the basic building block of multiplier and adders. Hence, the hybrid FIR filter is proposed to improve the speed of the signal processing system using hybrid adder and hybrid multiplier. In this technique, the basic hybrid adder is designed with the help of 2-bit adders, BEC and 4:1 Multiplexer. Also, the hybrid multiplier is designed based on partial products of two consecutive multiplicand bits which are added at same time using Han-Carlson, Weinberger and Ling adder. The proposed FIR filter is functionally verified and synthesised using Xilinx ISE simulator and is implemented in Spartan 6 FPGA boards. The result shows that the delay of FIR filter using the proposed multiplier is improved by 26.51%, 15.59%, 15.83% and 2.79% as compared with CLA, conventional CSA, CSA-BK-BEC and the proposed adder with array multiplier, respectively. [ABSTRACT FROM AUTHOR]

In this paper, a new speech enhancement approach using the modified Tunable-Q Wavelet Transform (TQWT) for Tamil speaker recognition systems is proposed. Different forms of the existing wavelet transforms like continuous wavelet transform and discrete wavelet transform provide little ability to tune the Q factor and redundancy of the wavelet and have less reconstruction property. TQWT is fully discrete, has perfect reconstruction property and is modestly overcomplete. The Q-factor and redundancy can be easily tuned. Speech signals vary in both time and space. The entire speech signal is divided into different parts. Depending on the oscillatory contents of the speech signal, different Q factors are applied for each part instead of applying a single Q factor for the entire data. This gives more accuracy in decomposition. The proposed method is evaluated on several speakers and under various noise conditions including babble, street and exhibition noises. In order to tune the quality factor (Q) of the TQWT and to obtain good reconstruction property, speech enhancement has been conducted with varying values of Q. The reconstruction error, cost function, Signal to Noise Ratio(SNR) and Mean Opinion Score(MOS) show that the new approach highly improves the performance of speech enhancement based on the modified TQWT. Hardware implementation is also done using TMS320C6713 DSK and the results are similar to simulation. [ABSTRACT FROM AUTHOR]