Truncated Volterra expansions model nonlinear systems encountered with satellite communications, magnetic recording channels, and physiological processes. A general approach for blind deconvolution of single-input multiple-output Volterra finite impulse response (FIR) systems is presented. It is shown that such nonlinear systems can be blindly equalized using only linear FIR filters. The approa...

A feedforward control algorithm for active noise control based on the recursive estimation of a generalized finite impulse response (FIR) filter is presented in this paper. The feedforward control algorithm is applied to a commercial air ventilation silencer to provide active noise compensation in an airduct. A generalized FIR filter has the same linear parameter structure as a taped delay FIR ...

In conventional memory-based multiplication design, the multiplier is replaced by a read only memory (ROM). Since the memory size increases exponentially with the input length, in this paper, a modified hardwareefficient approach for memoryless-based multiplication is proposed. The very large scale integration (VLSI) measure indicates that the proposed approach involves less hardware complexity...

This work proposes a low-power 8 channel neural recording system for use in advanced closed-loop neurostimulation applications for the detection and treatment of neurological disorders such as Parkinson’s disease. The analog front end senses and filters the neural activity with eight low-noise preamplifiers and band-pass filters. The neural sensing signals are multiplexed to a single logarithmi...

The study presents three-port reflecting cell model for analyzing SAW structures employing strong electrode reflections. Basic objective is to analytically approximate all the p-matrix elements for a SAW structure in terms of reflection, transduction, and transmission strengths. This model is an approximate one and it does not take into account the effects of bulk wave excitation, diffraction, ...

This paper presents a wavelet-based approach for the design of the finite impulse response (FIR) notch filter with controlled null width. The M-band P-regular wavelet filters are employed to constitute the null space of the derivative constraint matrix. Taking advantage of the vanishing moment property of the wavelet filters, the proposed method controls the null width of the notch filter by ad...

In this paper, a new two-parameter window function - Raised semi-ellipse (RSE) is proposed. The obtained from fixed elliptical known as Semi-ellipse by raising the radius of minor axis parameter (β), and applied for design finite impulse response (FIR) digital filters. spectral parameters proposed are determined first compared with Kaiser – 2-parameter adjustable window. Subsequently, in its ap...

We develop an end-to-end deep-neural-network-based algorithm for classifying animal behavior using accelerometry data on the embedded system of artificial intelligence things (AIoT) device installed in a wearable collar tag. The proposed jointly performs feature extraction and classification utilizing set infinite-impulse-response (IIR) finite-impulse-response (FIR) filters together with multil...

Encoding properties of sensory neurons are commonly modeled using linear finite impulse response (FIR) filters. For the auditory system, the FIR filter is instantiated in the spectro-temporal receptive field (STRF), often in the framework of the generalized linear model. Despite widespread use of the FIR STRF, numerous formulations for linear filters are possible that require many fewer paramet...

Digital filters with variable bandwidth can be used for a variety of applications. Arbitrary change in the digital Finite Impulse Response (FIR) filter acquired using sampling rate converters (SRCs). In this paper, SRC is proposed which generated from Pascal structure, fractional delay having low hardware complexity and high modularity. A low-pass single sandwiched between two SRCs contribute m...