FIR filter optimization using bit-edge equalization in high-speed backplane data transmission

Realization of FIR Filter Using Modified Distributed Arithmetic Architecture

“…[7]. Table I: Look Up Table for 4 Tap Filter Each product term consists of a variable (signal) and a constant (coefficient) both in fixed point binary format but not necessarily of the same word length; Rather than compute the product on a term by term basis, the partial products of all terms are computed simultaneously, and in the time it would take to compute a single partial product on bit by bit basis.…”

VLSI Implementation of Segmentation of Single Channel ECG

“…Wavelet analysis provides information that is localized in frequency and in time, which makes it highly suitable for analysis of non-stationary signals and applications in bio signal analyzes and data compression and signal separation. Finite impulse response (FIR) digital filters are common components in many digital signal processing (DSP) [2][3][4][5][6][7][8][9][10][11] systems.…”

1‐V continuous‐time equalizers for multi‐gigabit short‐haul optical fiber communications

“…Discrete‐time equalizers require sample‐and‐hold (S&H) cells, which introduces distortion and attenuation to the delayed signal; besides each delay unit must settle down in one symbol period, which requires a high‐frequency clock and a wide bandwidth S&H. Furthermore, according to the Nyquist theorem, the signal must be sampled at least at twice the highest frequency, which leads to a very high‐speed requirement for a sampling circuit that results in high power consumption. Instead, continuous‐time equalizers can be used as a good trade‐off for low‐power high‐speed applications, requiring less complexity and smaller area than discrete‐time or purely digital approaches .…”