Abstract: Various embodiments of a robust double node upset tolerant latch in which all internal and external nodes are capable of recovering the previous value after a single event upset are disclosed.

Abstract: Systems and methods for compressive image sensor techniques based on sparse measurement matrices are disclosed. A method to perform compressive sensing (CS) measurement operations for image sensors limits pixel summation to be within neighboring pixels and hence dramatically simplifies CS image sensor circuits and reduces their power consumption while providing better image quality compared to conventional random measurement matrix based methods. A sparse measurement matrix is applied to pixel data to generate a desired number of summation groups, each summation group consisting of outputs from an equal number of pixel cells. Each pair of summation groups contains the same number of shared outputs from pixel cells. From the summation groups, an image captured by the pixel cells is recovered.

Abstract: Various embodiments of a robust double node upset tolerant latch in which all internal and external nodes are capable of recovering the previous value after a single event upset are disclosed.

Abstract: Disclosed are a latch circuit and method for preventing double node upsets (DNUs). A first, second, and third storage circuit, each comprising four inputs and an output, are electrically interconnected with a first and second three-input c-element circuit, each comprising three inputs and an output, and a two-input c-element circuit comprising two inputs and an output. The output of the first storage circuit is connected to a first input of the first three-input c-element circuit, a first input of the third storage circuit and a third input of the second storage circuit. The output of the second storage circuit is connected to a second input of the first three-input c-element circuit, a first input of the two-input c-element circuit, and a second input of the second three-input c-element circuit.

Abstract: Systems and methods for compressive image sensor techniques based on sparse measurement matrices are disclosed. A method to perform compressive sensing (CS) measurement operations for image sensors limits pixel summation to be within neighboring pixels and hence dramatically simplifies CS image sensor circuits and reduces their power consumption while providing better image quality compared to conventional random measurement matrix based methods. A sparse measurement matrix is applied to pixel data to generate a desired number of summation groups, each summation group consisting of outputs from an equal number of pixel cells. Each pair of summation groups contains the same number of shared outputs from pixel cells. From the summation groups, an image captured by the pixel cells is recovered.

Abstract: Disclosed are a latch circuit and method for preventing double node upsets (DNUs). A first, second, and third storage circuit, each comprising four inputs and an output, are electrically interconnected with a first and second three-input c-element circuit, each comprising three inputs and an output, and a two-input c-element circuit comprising two inputs and an output. The output of the first storage circuit is connected to a first input of the first three-input c-element circuit, a first input of the third storage circuit and a third input of the second storage circuit. The output of the second storage circuit is connected to a second input of the first three-input c-element circuit, a first input of the two-input c-element circuit, and a second input of the second three-input c-element circuit.