Reduction of Quantization Noise in Pulse Code Modulation (PCM) Image CodingPulse code modulationImage processingQuantizationPseudo noise systemsNoise reductionCodingReprintsNo abstract available.Lim, J. S.Massachusetts Inst. of Tech.
Resistive Random Access Memory (RRAM)10,11,12,13,14,15, and Phase Change Memory (PCM)16,17,18,19have been previously proposed as a means for realizing artificial neural networks on hardware (Fig.1d). These computing architectures perform in-memory vector-matrix multiplication, the core operatio...
(7) PCM0 to PCM4 (Port CM) ··· 3-state I/O PCM0 to PCM4 constitute a 5-bit I/O port that can be set to input or output in 1-bit units. Besides functioning as a port, in the control mode, these pins operate as the wait insertion signal input, system clock output, bus ...
The level of the quantization error in an A/D converter depends on the sample rate, the bit depth and the sampled waveform. The quantization error in a DSP process depends also on the number of steps. As D/A converters are assumed to reproduce the digital representation of the signal - ...
As for the public opinion detection system structure on campus network of colleges and universities, it mainly depends on the Internet to collect and analyze network information. Therefore, the system can be roughly divided into two parts, namely, front-end acquisition and back-end analysis. In ...
PCMCI systematically identifies common drivers and indirect links among time-lagged variables, in this particular example based on partial correlation tests. Details on data in ref. 53. b Application of a similar method to Arctic climate25: Barents and Kara sea ice concentrations (BK-SIC) are ...
PCMCI systematically identifies common drivers and indirect links among time-lagged variables, in this particular example based on partial correlation tests. Details on data in ref. 53. b Application of a similar method to Arctic climate25: Barents and Kara sea ice concentrations (BK-SIC) are ...
Realizing increasingly complex artificial intelligence (AI) functionalities directly on edge devices calls for unprecedented energy efficiency of edge hardware. Compute-in-memory (CIM) based on resistive random-access memory (RRAM)1 promises to meet such
Since the range of TF coefficients strongly depends on the frequency, this would avoid the risk of excessive modification of the variances due to processing the whole TF plane globally. However, in this framework, we consider instantaneous mixtures, for which the separation is performed using the ...
Knowing the object source energy g(ω) as a function of frequency (e.g., using time-frequency analysis techniques, such as performing a fast Fourier transform on the PCM stream) allows us to convert each PCM object and the corresponding location into the SHC Anm(k). Further, it can be ...