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METHODS AND DEVICES FOR CODING AND DECODING THE POSITION OF THE LAST SIGNIFICANT COEFFICIENT

Thu, 03 Nov 2016 08:00:00 EDT

Methods and devices are described for entropy coding data using an entropy coder to encode quantized transform domain coefficient data. Last significant coefficient information is signaled in the bitstream using two-dimensional coordinates for the last significant coefficient. The context for bins of one of the coordinates is based, in part, upon the value of the other of the coordinates. In one case, instead of signaling last significant coefficient information, the number of non-zero coefficients is binarized and entropy encoded.



METHOD AND SYSTEM FOR ASYNCHRONOUS SUCCESSIVE APPROXIMATION ANALOG-TO-DIGITAL CONVERTOR (ADC) ARCHITECTURE

Thu, 03 Nov 2016 08:00:00 EDT

Systems and methods are provided for detecting meta-stability during processing of signals. A meta-stability detector may comprise a timing control circuit, a plurality of signal adjustment circuits, and a plurality of signal state circuits. The timing control circuit may measure comparison time for each conversion cycle during analog-to-digital conversions. Each signal adjustment circuit may apply a logical operation to one or more input signals to the signal adjustment circuit, and provide a corresponding output signal. Each signal state circuit may store state information relating to one or more input signals to the signal state circuit, for at least one processing cycle; and provide an output signal based on prior stored information. The plurality of signal state circuits, plurality of signal adjustment circuits, and the timing control circuit may be arranged to generate one or more control signals for controlling an analog-to-digital converter (ADC) during the analog-to-digital conversions



COGNITIVE SIGNAL CONVERTER

Thu, 03 Nov 2016 08:00:00 EDT

A cognitive signal converter connectable to an analog signal source via an analog signal input port and adapted to produce a digital output signal based on an analog input signal received via the analog signal input port is disclosed. The cognitive signal converter comprises an analog-to-digital converter and a cognitive network. The analog-to-digital converter is adapted to produce a digital converted signal based on the analog input signal, a sample clock signal and a process clock signal by sampling the analog input signal in accordance with the sample clock signal and quantizing each analog input signal sample, wherein the quantizing process is operated by the process clock signal. The cognitive network is adapted to receive the digital converted signal of the analog-to-digital converter, control at least one of the sample clock signal and the process clock signal based on the received digital converted signal and one or more characteristics of the analog signal source, and produce the digital output signal based on the received digital converted signal. Corresponding integrated circuit, electronic device and method are also disclosed.



SEMICONDUCTOR DEVICE

Thu, 03 Nov 2016 08:00:00 EDT

The present invention provides a semiconductor device having a high-speed A/D conversion circuit realizing improvement in noise resistance. A semiconductor device having an A/D conversion circuit includes a sample and hold circuit outputting an analog signal having a value according to a value of an analog signal supplied in a first period, and prediction tables. The prediction tables have reference voltage information designating a reference voltage to be compared with an analog signal output from the sample and hold circuit at a plurality of timings in the first period and bit position information designating a bit position of a digital signal determined by comparison with the reference voltage.



Multi-mode sampling/quantization converters

Thu, 03 Nov 2016 08:00:00 EDT

Provided are, among other things, systems, methods and techniques for converting a continuous-time, continuously variable signal into a sampled and quantized signal. According to one implementation, an apparatus includes multiple processing branches, each including: a bandpass noise-shaping circuit, a sampling/quantization circuit, and a digital bandpass filter. A combining circuit then combines signals at the processing branch outputs into a final output signal. The bandpass noise-shaping circuits include adjustable circuit components for changing their quantization-noise frequency-response minimum, and the digital bandpass filters include adjustable parameters for changing their frequency passbands.