Digital Signal Processing: A System Design ApproachProvides a new methodology for performing system design of signal processing applications, offering easy-to-follow procedures which can be implemented on personal computers. Topics covered include a structured approach to filter design with closed form equations for classical IIR filter implementations in 2nd order cascaded stages; radix 4 & 8 FFT implementation algorithms for bit reversal, read/write data addressing and twiddle factors; overlap FFT processing gain computation procedure and results for popular windows, and comprehensive finite arithmetic analysis procedure for cascaded implementations. Multirate processing is covered, along with a system design of a high resolution detection application showing the procedure for analyzing the hardware and software architecture requirements. BASIC routines are provided for several DSP operations. |
Common terms and phrases
algorithm aliasing analog signal application arithmetic band bandpass bandwidth beamforming bits Buffer cascade Chapter complex components computational data decimation defined determine developed difference equation digital filter Digital Signal Processing discrete signals discrete-time elliptic filter error estimate Example FFT4 filter coefficients filter design filter order finite finite impulse response FIR digital FIR filter flow graph Fourier transform frequency response given by Eq hardware IEEE implementation impulse response input signal integration inverse Z-transform linear systems lowpass magnitude multiplication multirate noise obtained octave parameters passband performance poles and zeros problem processor quantization requirements resource analysis sampling rate decrease second-order sections sequence shown in Figure signal analysis signal processing design sinusoidal specifications spectral analysis spectrum STAGE step stopband storage summation system design Table time-invariant transfer function transition band twiddle factors unit circle unit-impulse response values Vernier window x(nT y(nT z-plane Z-transform