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This paper presents an Adaptive Delta Modulation (ADM) with one-bit quantization in which the speech is first pre-processed. We define such a system as the `proposed ADM¿. For example large variations in the input signal require larger step sizes. If step size is not increased, it leads to slope overload error. The large variations in the input signal are(More)
Delta modulation plays a key role in data communication; the problem encountered in delta modulation is the slope over load error, which is inherent in the system. In order for the signal to have good fidelity, the slope-overload error needs to be as small as possible. Adaptive delta modulation reduces the slope over load error to a greater extent. ADM(More)
This paper discusses the linear complexity property of binary sequences generated using matrix recurrence relation defined over Z 4. Generally algorithm to generate random number is based on recursion with seed value/values. In this paper a linear recursion sequence of matrices or vectors over Z 4 is generated from which random binary sequence is obtained.(More)
This paper presents a method for improving the signal-to-noise ratio (SNR) of adaptive delta modulators (ADM) with one-bit quantization. An ADM with pre-processed signals is proposed here. For example large variations in the input signal require larger step sizes. If step size is not increased, it leads to slope overload error. The large variations in the(More)
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