By Harry L. Van Trees
This graduate-level textual content offers a language for figuring out, unifying, and enforcing a wide selection of algorithms for electronic sign processing - specifically, to supply ideas and systems which could simplify or perhaps automate the duty of writing code for the most recent parallel and vector machines. It therefore bridges the distance among electronic sign processing algorithms and their implementation on various computing systems. The mathematical notion of tensor product is a ordinary subject matter in the course of the publication, considering those formulations spotlight the knowledge circulate, that is specially vital on supercomputers. due to their significance in lots of purposes, a lot of the dialogue centres on algorithms relating to the finite Fourier rework and to multiplicative FFT algorithms Arrays and spatial filters -- Synthesis of linear arrays and apertures -- Planar arrays and apertures -- Characterization of space-time techniques -- optimal waveform estimation -- Adaptive beamformers -- Parameter Estimation I : greatest probability -- Parameter estimation II -- Detection and different themes
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Extra resources for Detection, estimation, and modulation theory: Optimum array processing
The rapid growth and the exploitation of DSP semiconductor technology are not a surprise, considering the commercial advantages in terms of the fast, flexible, and potentially low-cost design capabilities offered by these devices. Generalpurpose-programmable DSP chip developments are supported by software development tools such as C compilers, assemblers, optimizers, linkers, debuggers, simulators, and emulators. Texas Instruments' TMS320C55x, a programmable, high efficiency, and ultra low-power DSP chip, will be discussed in the next chapter.
Upward source-code compatible with all TMS320C54x devices. 64-byte instruction buffer queue that works as a program cache and efficiently implements block repeat operations. Two 17-bit by 17-bit MAC units can execute dual multiply-and-accumulate operations in a single cycle. A 40-bit arithmetic and logic unit (ALU) performs high precision arithmetic and logic operations with an additional 16-bit ALU performing simple arithmetic operations parallel to the main ALU. Four 40-bit accumulators for storing computational results in order to reduce memory access.
A 32-bit floating-point format gives a large dynamic range. However, the resolution is still only 24 bits. Dynamic range limitations may be virtually ignored in a design using floating-point DSP chips. This is in contrast to fixedpoint designs, where the designer has to apply scaling factors to prevent arithmetic overflow, which is a very difficult and time-consuming process. Floating-point devices may be needed in applications where coefficients vary in time, signals and coefficients have a large dynamic range, or where large memory structures are required, such as in image processing.