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Contents

Discrete Signals

Discrete Time Signals Standard Sequences LTI Systems Convolution Sum Difference Equations Correlation

Z-Transform

Z-Transform Definition Properties of ROC Inverse Z-Transform Transfer Function System Response

DFT & FFT

DTFT Overview DFT Basics Properties of DFT Circular vs Linear FFT Algorithms Computations in FFT Goertzel Algorithm

FIR Filters

Filter Types FIR Characteristics FIR Filter Design Window Functions Kaiser Window FIR Structures

IIR Filters

IIR Basics Impulse Invariance Bilinear Transform Butterworth Filters Chebyshev Filters IIR Structures

Multirate DSP

Decimation Interpolation Sampling Rate Conversion Polyphase Decomposition Filter Banks

Adaptive Filters

Adaptive Filter Basics LMS Algorithm RLS Algorithm Noise Cancellation Echo Cancellation Channel Equalization

DSP Applications

Speech Processing Basics Image Processing Basics Audio Compression Radar Signal Processing

Other Topics

Wavelet Transform DSP Processors Fixed vs Floating Point

Other Subjects

Analog Electronics Digital Electronics Signals & Systems Control Systems Electromagnetic Theory Digital Communication Analog Communication Network Analysis Microprocessors VLSI Design Verilog HDL Power Electronics Embedded Systems Electronic Devices

Section Progress100%

3 of 3 articles

Fixed vs Floating Point

Quantization noise, dynamic range.

Updated: 19 March 2026

5 min read

Fixed vs Floating Quiz

Test your understanding of quantization noise and dynamic range in fixed and floating-point DSP systems.

Question 1 of 3

Q1.For a B-bit fixed-point uniform quantizer, the signal-to-quantization noise ratio (SQNR) for a full-scale sinusoidal input is approximately:

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