Robust peak detection algorithm (using z-scores) I came up with an algorithm that works very well for these types of datasets. It is based on the principle of dispersion: if a new datapoint is a given x number of standard deviations away from a moving mean, the algorithm gives a signal. The algorithm is very robust because it constructs a separate moving mean and deviation, such that previous ...
The answer may still be interesting for somebody else: One may apply a variation of the marching square algorithm, applied (1) within the concave hull, and (2) then on (e.g. 3) different scales that my depend on the average density of points. The scales need to be int multiples of each other, such you build a grid you can use for efficient ...
The hashing algorithm needs to be deterministic i.e. given the same input it must always produce the same output. Reduce Collisions The algorithm that calculates a hash code needs to keep hash collisions to a minumum. A hash collision is a situation that occurs when two calls to GetHashCode on two different objects produce identical hash codes.
Most people with a degree in CS know what Big O stands for. It helps us to measure how well an algorithm scales. How do you calculate or approximate the complexity of your algorithms?
A common algorithm with O (log n) time complexity is Binary Search whose recursive relation is T (n/2) + O (1) i.e. at every subsequent level of the tree you divide problem into half and do constant amount of additional work.
algorithm - What does O (log n) mean exactly? - Stack Overflow
Algorithm A can't tell the difference between two similar inputs instances where only x 's value changes. If x is the minimum in one of these instances and not in the other, then A will fail to find the minimum on (at least) one of these two instances. In other words, finding the minimum in an array is in not in o(n) and is therefore in 𝛺(n).
The peak-finding algorithm would find the location of these peaks (not just their values), and ideally would find the true inter-sample peak, not just the index with maximum value, probably using quadratic interpolation or something.
algorithm - Peak signal detection in realtime timeseries data - Stack ...
4 The algorithm you describe is called linear interpolation, and is one of the fastest algorithms, but isn't the best on images.
What is the most efficient algorithm to achieve the following: 0010 0000 => 0000 0100 The conversion is from MSB->LSB to LSB->MSB. All bits must be reversed; that is, this is not endianness-
Is the algorithm available in my favorite language? What is the code size of the algorithm? Is the algorithm readable, understandable? Source code The source code below contains all used algorithms. It includes: My original algorithm (with comments) A even faster version of my algorithm (but less readable) The original slow algorithm All tested ...
Note I previously suggested blank instead of _blank because, if used, it'll open a new tab and then use the same tab if the link is clicked again. However, this is only because, as GolezTrol pointed out, it refers to the name a of a frame/window, which would be set and used when the link is pressed again to open it in the same tab.
The new operator uses the internal [[Construct]] method, and it basically does the following: Initializes a new native object Sets the internal [[Prototype]] of this object, pointing to the Function prototype property. If the function's prototype property is not an object (a primitive values, such as a Number, String, Boolean, Undefined or Null), Object.prototype is used instead. After ...
A sorting algorithm is said to be stable if two objects with equal keys appear in the same order in sorted output as they appear in the input unsorted array. Some sorting algorithms are stable by nature like Insertion sort, Merge Sort, Bubble Sort, etc.