Abstract: A method for denoising an image. The method includes training a fully convolutional neural network (FCN) and generating a reconstructed image by applying the FCN on the image. Training the FCN includes generating an nth training image of a plurality of training images, initializing the FCN with a plurality of initial weights, and repeating a first iterative process. The nth training image includes a training array In. The first iterative process includes extracting an nth denoised training image from the FCN, generating a plurality of updated weights, and replacing the plurality of initial weights with the plurality of updated weights. The nth denoised training image may be extracted by applying the FCN on the nth training image. In an exemplary embodiment, the nth denoised training image may include a denoised array În. The plurality of updated weights is generated by minimizing a loss function including ?n=1N|In?În|.

Abstract: A method for denoising an image. The method includes training a fully convolutional neural network (FCN) and generating a reconstructed image by applying the FCN on the image. Training the FCN includes generating an nth training image of a plurality of training images, initializing the FCN with a plurality of initial weights, and repeating a first iterative process. The nth training image includes a training array In. The first iterative process includes extracting an nth denoised training image from the FCN, generating a plurality of updated weights, and replacing the plurality of initial weights with the plurality of updated weights. The nth denoised training image may be extracted by applying the FCN on the nth training image. In an exemplary embodiment, the nth denoised training image may include a denoised array În. The plurality of updated weights is generated by minimizing a loss function including ?n?1N|In?În|.

Abstract: Circuit and method for encoding an analog signal to a stream of bits at an Analog to Digital Converter (ADC) and subsequent reconstruction of the original signal from the bit stream at a Digital to Analog Converter (DAC), where the ADC module samples the analog signal at a sub-Nyquist rate and encodes the samples to a stream of bits. The bit steam is subsequently used to reconstruct the Nyquist-rate samples of the original analog signal at the DAC. The ADC samples the input signal in one of the two realizations of non-uniform sampling, namely, Random Sampling (RS) and Level Crossing (LC) sampling techniques, according to embodiments of the disclosed invention.

Abstract: A recursive method for constructing uniquely decodable codes for overloaded synchronous CDMA systems, where large signature codes with growing overloading factors are reconstructed from the small ones. A class of uniquely decodable signature matrices (or encoders) for overloaded synchronous CDMA are also devised. A decoder for synchronous CDMA systems to extract the user data by a number of comparisons with respect to some predefined thresholds.

Abstract: A recursive method for constructing uniquely decodable codes for overloaded synchronous CDMA systems, where large signature codes with growing overloading factors are reconstructed from the small ones. A class of uniquely decodable signature matrices (or encoders) for overloaded synchronous CDMA are also devised. A decoder for synchronous CDMA systems to extract the user data by a number of comparisons with respect to some predefined thresholds.

Abstract: An iterative method for multi-user detection in Code Division Multiple Access (CDMA) Systems is used to improve the capacity of the network for random codes. A soft limiter function is used in the output of each step of iterations to accelerate the convergence and also to improve the interference cancellation power of this method.

Abstract: A system and method is provided to improve the performance of the sigma delta analog to digital converter (ADC). An input signal analog signal received though an input device is passed to a sigma delta modulator (SDM). The output of the modulator is passed through a low pass filter. An iterative algorithm and acceleration algorithm are applied to process the filter output signals to shape the noise components and to improve the performance of the sigma delta ADC. A distortion operator such as G operator, comprising of sigma delta modulator and multistage low pass filter (LPF) is used to suppress the shaped quantization noise.

Abstract: A system and method is provided to improve the performance of the sigma delta analog to digital converter (ADC). An input signal analog signal received though an input device is passed to a sigma delta modulator (SDM). The output of the modulator is passed through a low pass filter. An iterative algorithm and acceleration algorithm are applied to process the filter output signals to shape the noise components and to improve the performance of the sigma delta ADC. A distortion operator such as G operator, comprising of sigma delta modulator and multistage low pass filter (LPF) is used to suppress the shaped quantization noise.