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A numerically controlled oscillator (NCO) is a digital signal generator which creates a synchronous (i.e., clocked), discrete-time, discrete-valued representation of a waveform, usually sinusoidal. [1] NCOs are often used in conjunction with a digital-to-analog converter (DAC) at the output to create a direct digital synthesizer (DDS). [3]
NCO (netCDF Operators) is a suite of programs designed to facilitate manipulation and analysis of self-describing data stored in the netCDF format. Program Suite [ edit ]
NCO is linked to the market for loanable funds and the international foreign exchange market. This relationship is often summarized by graphing the NCO curve with the quantity of country A's currency in the x-axis and the country's domestic real interest rate in the y-axis. The NCO curve gets a negative slope because an increased interest rate ...
The ability to chain formulas together is what gives a spreadsheet its power. Many problems can be broken down into a series of individual mathematical steps, and these can be assigned to individual formulas in cells. Some of these formulas can apply to ranges as well, like the SUM function that adds up all the numbers within a range.
NCO may refer to: NCO Group, an international corporation; National Children's Orchestra of Great Britain; Net capital outflow, an economic metric; NetCDF Operators, software; Network-centric operations, a theory of war in the information age; Non-commissioned officer, a category of military rank; Numerically controlled oscillator, a digital ...
Los Angeles Times owner Patrick Soon-Shiong, who blocked the newspaper’s endorsement of Kamala Harris and plans to overhaul its editorial board, says he will implement an artificial intelligence ...
If the ratio of the two sample rates is (or can be approximated by) [A] [4] a fixed rational number L/M: generate an intermediate signal by inserting L − 1 zeros between each of the original samples. Low-pass filter this signal at half of the lower of the two rates. Select every M-th sample from the filtered output, to obtain the result. [5]
In statistics, ordinary least squares (OLS) is a type of linear least squares method for choosing the unknown parameters in a linear regression model (with fixed level-one [clarification needed] effects of a linear function of a set of explanatory variables) by the principle of least squares: minimizing the sum of the squares of the differences between the observed dependent variable (values ...